| 粒子滤波算法在TBD目标检测中的应用 |
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| 引用本文： | 方青,李川.粒子滤波算法在TBD目标检测中的应用[J].中国电子科学研究院学报,2011,6(1):91-95. |
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| 作者姓名： | 方青 李川 |
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| 作者单位： | 中国电子科技集团公司第38研究所,合肥,230031 |
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| 摘 要： | 提出了基于生存概率模型的目标检测滤波器设计,实现了基于序惯Monte-Carlo采样粒子滤波方法.优化设计了目标生存概率的算法;给出了粒子滤波器的TBD算法的理论推导及数值计算过程.仿真实验表明:基于粒子滤波器的TBD算法能够检测低信噪比的目标.
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| 关 键 词： | 弱小目标检测 检测前跟踪(TBD) 粒子滤波 生存概率 |
Particle Filtering Algorithm with Application to Target Detect |
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| FANG Qing,LI Chuan.Particle Filtering Algorithm with Application to Target Detect[J].Journal of China Academy of Electronics and Information Technology,2011,6(1):91-95. |
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| Authors: | FANG Qing LI Chuan |
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| Affiliation: | FANG Qing,LI Chuan(The 38th Research Institute of CETC,Hefei 230031,China) |
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| Abstract: | In this paper,it gives target detect-filter based on exist probability model,and it implements the method of particle filter based on sequence Monte-Carlo sampling,and arithmetic of target exist probability is optimized.Theoretical result and numerical computation of the particle filter-based TBD algorithm is given.The simulation experiment illustrates the particle filter-based TBD algorithm can detect a target with a low SNR. |
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| Keywords: | detection of small targets with low SNR track-before-detect particle filter exist probability |
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